John K. Kim
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
-
- RNA Research and Splicing 14
- CRISPR and Genetic Engineering 12
- RNA modifications and cancer 11
- RNA and protein synthesis mechanisms 6
- Advanced biosensing and bioanalysis techniques 3
- Genomics and Chromatin Dynamics 3
- Aging 8
- Genetics, Aging, and Longevity in Model Organisms 8
- Co-authors
- Mallory Freeberg (11 shared papers)Ting Han (9 shared papers)Gary Ruvkun (4 shared papers)Ravi S. Kamath (3 shared papers)Harrison W. Gabel (3 shared papers)Scott Kennedy (2 shared papers)Allison C. Billi (5 shared papers)Joshua M. Kaplan (2 shared papers)
- Journals
- PLoS Genetics (4 papers)eLife (4 papers)Proceedings of the National Academy of Sciences (3 papers)Nature (2 papers)Science (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
John K. Kim
32 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 108
- Aging 553
- Molecular Biology 1.8k
- Cancer Research 334
- Plant Science 501
- Endocrine and Autonomic Systems 68
Countries citing papers authored by John K. Kim
This map shows the geographic impact of John K. Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John K. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John K. Kim more than expected).
Fields of papers citing papers by John K. Kim
This network shows the impact of papers produced by John K. Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John K. Kim. The network helps show where John K. Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside John K. Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 259 | |
| 2 | 2005 | 223 | |
| 3 | 2005 | 223 | |
| 4 | 2008 | 162 | |
| 5 | 2017 | 149 | |
| 6 | 2017 | 143 | |
| 7 | 2009 | 136 | |
| 8 | 2012 | 111 | |
| 9 | 2009 | 106 | |
| 10 | 2012 | 93 | |
| 11 | 2014 | 81 | |
| 12 | 2020 | 78 | |
| 13 | 2013 | 76 | |
| 14 | 2020 | 71 | |
| 15 | 2020 | 63 | |
| 16 | 2021 | 50 | |
| 17 | 2017 | 45 | |
| 18 | 2019 | 44 | |
| 19 | 2013 | 37 | |
| 20 | 2019 | 29 |
About John K. Kim
John K. Kim is a scholar working on Molecular Biology, Aging, Plant Science, Cancer Research and Epidemiology, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (14 papers), CRISPR and Genetic Engineering (12 papers), RNA modifications and cancer (11 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), RNA and protein synthesis mechanisms (6 papers), Chromosomal and Genetic Variations (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Aging (553 citations), Molecular Biology (1.8k citations), Cancer Research (334 citations), Plant Science (501 citations) and Endocrine and Autonomic Systems (68 citations). John K. Kim has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Mallory Freeberg, Ting Han, Gary Ruvkun, Ravi S. Kamath, Harrison W. Gabel, Scott Kennedy, Allison C. Billi, Joshua M. Kaplan, Amelia F. Alessi and Nathan Roach. Their work appears in journals such as PLoS Genetics, eLife, Proceedings of the National Academy of Sciences, Nature and Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.